{"id":"https://openalex.org/W7125831324","doi":"https://doi.org/10.1145/3779212.3790214","title":"RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL Simulation","display_name":"RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL Simulation","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7125831324","doi":"https://doi.org/10.1145/3779212.3790214"},"language":null,"primary_location":{"id":"doi:10.1145/3779212.3790214","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779212.3790214","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3779212.3790214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yan Zhu","orcid":"https://orcid.org/0000-0002-6932-7971"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Zhu","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6932-7971","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030543382","display_name":"B. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boru Chen","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0009-0001-8024-1116","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027987862","display_name":"Christopher W. Fletcher","orcid":"https://orcid.org/0000-0002-9995-5995"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher W. Fletcher","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9995-5995","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123917835","display_name":"Nandeeka Nayak","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nandeeka Nayak","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0009-0006-8895-8206","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17318436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1660","last_page":"1676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.7236999869346619,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.7236999869346619,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.12049999833106995,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.01600000075995922,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6082000136375427},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.566100001335144},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5134999752044678},{"id":"https://openalex.org/keywords/tensor-algebra","display_name":"Tensor algebra","score":0.5105999708175659},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.42489999532699585},{"id":"https://openalex.org/keywords/boolean-algebra","display_name":"Boolean algebra","score":0.3905999958515167},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.37630000710487366},{"id":"https://openalex.org/keywords/relational-algebra","display_name":"Relational algebra","score":0.36890000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916000247001648},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6082000136375427},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.566100001335144},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C1680195","wikidata":"https://www.wikidata.org/wiki/Q2296021","display_name":"Tensor algebra","level":5,"score":0.5105999708175659},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C39685927","wikidata":"https://www.wikidata.org/wiki/Q173183","display_name":"Boolean algebra","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C95916125","wikidata":"https://www.wikidata.org/wiki/Q840540","display_name":"Relational algebra","level":3,"score":0.36890000104904175},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C124007464","wikidata":"https://www.wikidata.org/wiki/Q428091","display_name":"Tensor contraction","level":3,"score":0.3513000011444092},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3147999942302704},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C161771561","wikidata":"https://www.wikidata.org/wiki/Q1970286","display_name":"Process calculus","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C163834973","wikidata":"https://www.wikidata.org/wiki/Q2004891","display_name":"Numerical linear algebra","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C157922185","wikidata":"https://www.wikidata.org/wiki/Q173198","display_name":"Logic synthesis","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2533999979496002},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.25220000743865967},{"id":"https://openalex.org/C64859876","wikidata":"https://www.wikidata.org/wiki/Q173673","display_name":"Logic simulation","level":3,"score":0.2517000138759613},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3779212.3790214","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779212.3790214","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2601.18140","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2601.18140","pdf_url":"https://arxiv.org/pdf/2601.18140","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3779212.3790214","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779212.3790214","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1922612963","display_name":null,"funder_award_id":"1954521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2429067570","display_name":null,"funder_award_id":"2154183","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4552275176","display_name":null,"funder_award_id":"1942888","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7891557237","display_name":null,"funder_award_id":"8191902","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"RTL":[0,44,54,76],"simulation":[1,19,45,59,69,77],"on":[2],"CPUs":[3,120],"remains":[4],"a":[5,47,61,87,95],"persistent":[6],"bottleneck":[7],"in":[8,22],"hardware":[9],"design.":[10],"State-of-the-art":[11],"simulators":[12],"embed":[13],"the":[14,18,102,113],"circuit":[15],"directly":[16],"into":[17],"binary,":[20],"resulting":[21],"long":[23],"compilation":[24,103],"times":[25],"and":[26,58,74,105,108,121],"execution":[27],"that":[28,86],"is":[29],"fundamentally":[30],"CPU":[31],"frontend-bound,":[32],"with":[33,94,112],"severe":[34],"instruction-cache":[35],"pressure.":[36],"This":[37],"work":[38],"proposes":[39],"RTeAAL":[40,66],"Sim,":[41],"which":[42],"reformulates":[43],"as":[46,56,60],"sparse":[48,62],"tensor":[49,63,81],"algebra":[50,64,82],"problem.":[51],"By":[52],"representing":[53],"circuits":[55],"tensors":[57],"kernel,":[65],"Sim":[67],"decouples":[68],"behavior":[70],"from":[71],"binary":[72],"size":[73],"makes":[75],"amenable":[78],"to":[79],"well-studied":[80],"optimizations.":[83],"We":[84],"demonstrate":[85],"prototype":[88],"of":[89,97],"our":[90],"tensor-based":[91],"simulator,":[92],"even":[93],"subset":[96],"these":[98],"optimizations,":[99],"already":[100],"mitigates":[101],"overhead":[104],"frontend":[106],"pressure":[107],"achieves":[109],"performance":[110],"competitive":[111],"highly":[114],"optimized":[115],"Verilator":[116],"simulator":[117],"across":[118],"multiple":[119],"ISAs.":[122]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-01-28T00:00:00"}
